Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning.

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Title: Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning.
Authors: Zhang, Renjie1,2 (AUTHOR), Jiang, Liheng3 (AUTHOR), Dong, Tianhao3 (AUTHOR), Xie, Yunhe1,4 (AUTHOR), Pan, Shufang1,4 (AUTHOR), Liu, Saihua1,4 (AUTHOR), Huang, Rui1,2 (AUTHOR), Ji, Xionghui1,2,4 (AUTHOR) xionghji@163.com, Xue, Tao1,4 (AUTHOR) xuet@igsnrr.ac.cn
Source: Environmental Management. Sep2025, Vol. 75 Issue 9, p2272-2286. 15p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 187765487
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  Data: Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Renjie%22">Zhang, Renjie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Liheng%22">Jiang, Liheng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Tianhao%22">Dong, Tianhao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xie%2C+Yunhe%22">Xie, Yunhe</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Shufang%22">Pan, Shufang</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Saihua%22">Liu, Saihua</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Rui%22">Huang, Rui</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ji%2C+Xionghui%22">Ji, Xionghui</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<i> xionghji@163.com</i><br /><searchLink fieldCode="AR" term="%22Xue%2C+Tao%22">Xue, Tao</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> xuet@igsnrr.ac.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Management%22">Environmental Management</searchLink>. Sep2025, Vol. 75 Issue 9, p2272-2286. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=187765487
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        Value: 10.1007/s00267-025-02160-y
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        Text: English
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      – TitleFull: Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning.
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              Text: Sep2025
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              Y: 2025
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